Sr. Data & Analytics Engineer, Amazon Leo

Overview In this role you will own the data infrastructure and analytics to connect battery development, test, manufacturing, and production data. You will enable end-to-end traceability, automate data processing, and build scalable tools to help engineers understand performance, identify failures, and drive faster decisions. You’ll work with cross-functional teams to translate engineering needs into robust data and analytics solutions. This position offers impact across battery systems powering a high-profile satellite network and manufacturing ecosystem. Compensation / Benefitshealth insurance401(k) matchingpaid time offparenteal leaveRSUssign-on payments ResponsibilitiesArchitect and maintain scalable data pipelines and platforms for battery test, manufacturing, laboratory, and production systemsBuild unified data models linking cells, PCBA, battery packs, test results, processes, equipment, configurations, and quality recordsEstablish end-to-end product and test traceability across serial numbers, lots, revisions, test procedures, calibration, and nonconformance dataDevelop automated data ingestion, transformation, validation, and processing from test systems, manufacturing equipment, databases, APIs, and engineering filesBuild engineering analytics, dashboards, and tools for test performance, lifecycle data, FPY, SPC, production trends, equipment performance, and failure investigationsDevelop automated data-analysis and reporting workflows that convert raw test data into engineering metrics, pass/fail results, trends, and actionable insightsEstablish data quality, lineage, metadata, and schema standards to ensure engineering data is accurate, reproducible, and trustworthyDevelop reusable APIs, libraries, datasets, and applications for easy access and analysis of battery dataPartner with Battery Test, Systems, Manufacturing Automation, ATE Software, Quality, Reliability, Manufacturing, and Production teams to translate needs into scalable data and analytics solutionsDrive technical architecture, analytics standards, tool development, documentation, and long-term battery data strategy Key requirements5+ years of non-internship professional software development experience5+ years of programming with at least one software programming language5+ years of leading design or architecture of new and existing systemsExperience as a mentor, tech lead or leading an engineering teamBachelor's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fieldsExperience developing scalable data pipelines, databases, data models, APIs, or engineering data platformsStrong programming experience with Python or another modern language and strong SQL skillsExperience developing data-analysis, visualization, or engineering applications using large or complex datasetsExperience with ETL/ELT pipelines, data validation, schema design, and integration of multiple data sourcesExperience translating engineering or customer requirements into scalable software, data, or analytics solutionsleadershipcross-functional collaborationcommunicationPythonSQLETL/ELT